QRS complex detection in tele-health ECG recordings using modified UNSW algorithm

Tele-Health applications are becoming quite popular these days, especially to the citizens living in remote areas who are incapable of moving to a different location at times of emergency. This paper proposes our work to provide Tele-Health through early analysis of cardiac patterns at the golden hour. Using this method analyzing ECG recordings that are extracted in a Tele-Health environment is possible. This is done detecting the QRS Complexes in TeleECG signals. Using these QRS Complexes it is possible to easily identify the cardiac variations or to detect symptoms of cardiac arrest. Normal algorithms cannot be implemented in a Tele-Health environment. This is because the existing QRS Detection algorithms primarily focuses on Pure Clinical ECG where the level of noise is low. The proposed algorithm is capable of detecting QRS Complexes in poor quality Tele-Health ECG where the level of noise is high. This is done by extracting the pure signal from all unwanted noises and other electrical interferences.